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On Radial Functions and Distributions and Their Fourier Transforms

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Abstract

We give formulas relating the Fourier transform of a radial function in \(\mathbb{R}^{n}\) and the Fourier transform of the same function in \(\mathbb{R}^{n+1}\), completing the analysis of Grafakos and Teschl (J. Fourier Anal. Appl. 19:167–179, 2013) where the case of \(\mathbb{R}^{n}\) and \(\mathbb{R}^{n+2}\) was considered.

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Notes

  1. In [9] a=−2π, while in this article we take a=1. The choice a=−1 is also popular. Once the formulas are known for a particular value of a the formulas for other choices are easy to derive.

  2. One can also work in the spaces \(\mathcal{D} ( \mathbb{R}^{n} ) \) and \(\mathcal{D}^{\prime} ( \mathbb{R}^{n} ) \) without much change, but we chose the framework of \(\mathcal{S} ( \mathbb{R}^{n} ) \) and \(\mathcal{S}^{\prime} ( \mathbb{R}^{n} ) \) because we will study Fourier transforms.

  3. We shall usually consider the strong topology on dual spaces, but most results also hold for the weak topology as well since in spaces of distributions weak and strong convergence of sequences are equivalent [10, 12].

  4. A proof can be given following the ideas of the proof of Proposition 3.4.

  5. For properties of LF spaces see [10] or [12].

  6. See [2, 7] for the theory of order relation in the Cesàro sense for distributions.

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Correspondence to Ricardo Estrada.

Additional information

Communicated by Loukas Grafakos.

The author gratefully acknowledges support from NSF, through grant number 0968448.

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Estrada, R. On Radial Functions and Distributions and Their Fourier Transforms. J Fourier Anal Appl 20, 301–320 (2014). https://doi.org/10.1007/s00041-013-9313-2

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